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Friends and Enemies of Clinton and Trump: Using Context for Detecting
  Stance in Political Tweets

Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets

26 February 2017
Mirko Lai
D. I. H. Farías
V. Patti
Paolo Rosso
ArXivPDFHTML

Papers citing "Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets"

7 / 7 papers shown
Title
A Semi-Supervised Approach to Detecting Stance in Tweets
A Semi-Supervised Approach to Detecting Stance in Tweets
Amita Misra
B. Ecker
Theodore Handleman
Nicolas Hahn
M. Walker
27
22
0
03 Sep 2017
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using
  Character and Word-Level CNNs
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs
Prashanth Vijayaraghavan
Ivan Sysoev
Soroush Vosoughi
D. Roy
38
71
0
17 Jun 2016
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
Guido Zarrella
A. Marsh
43
192
0
13 Jun 2016
A Readability Analysis of Campaign Speeches from the 2016 US
  Presidential Campaign
A Readability Analysis of Campaign Speeches from the 2016 US Presidential Campaign
Elliot Schumacher
M. Eskénazi
ELM
26
18
0
18 Mar 2016
Crowdsourcing a Word-Emotion Association Lexicon
Crowdsourcing a Word-Emotion Association Lexicon
Saif M. Mohammad
Peter D. Turney
62
2,311
0
28 Aug 2013
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of
  Tweets
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif M. Mohammad
S. Kiritchenko
Xiao-Dan Zhu
72
1,075
0
28 Aug 2013
A new ANEW: Evaluation of a word list for sentiment analysis in
  microblogs
A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
F. Nielsen
100
1,311
0
15 Mar 2011
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